Advances in flood forecasting and early warning
Advances in flood forecasting and early warning
Editor(s): Jie Yin, Lili Yang, Dapeng Yu, Jun Wang, and Heidi Kreibich
Flood forecasting and early warning have long played an important role in disaster risk reduction. Accurate flood forecasting, effective early warning, and proper responses enabled by actionable risk information are key to reducing potential flood damages and disruptions to properties, assets, the natural environment, and the normal functioning of the society. Over the past decades, significant advances have been made in these areas, owing to the increased availability of data, computational resources, and digital technology. However, challenges remain in many aspects.

This special issue aims to solicit contributions from different disciplines in the broad field of flood forecasting, early warning, and risk communication to exchange new knowledge, recent advances, and best practices from the perspectives of researchers, industry, and government organizations. Specific topics of this special issue will cover, but are not limited to

  • new and emerging flood forecasting methods and techniques for fluvial, pluvial, coastal, and groundwater flooding at various scales;
  • uncertainties in flood forecasting and mitigating methods;
  • flood forecasting and early warning under deep uncertainties;
  • forecasting and warning of flood-related perils such as landslides and debris flow;
  • advances in flood warning and risk communication;
  • new methods, tools, and techniques for communicating flood risks;
  • advances in risk evaluation;
  • flood warning based on strategic and operational responses.
Theoretical, methodological, and applied research in the field is encouraged. Submissions for all manuscript types such as commentaries, review articles, and research papers are welcome.

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17 Jan 2023
Warning water level determination and its spatial distribution in coastal areas of China
Shan Liu, Xianwu Shi, Qiang Liu, Jun Tan, Yuxi Sun, Qingrong Liu, and Haoshuang Guo
Nat. Hazards Earth Syst. Sci., 23, 127–138, https://doi.org/10.5194/nhess-23-127-2023,https://doi.org/10.5194/nhess-23-127-2023, 2023
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22 Dec 2022
A multi-strategy-mode waterlogging-prediction framework for urban flood depth
Zongjia Zhang, Jun Liang, Yujue Zhou, Zhejun Huang, Jie Jiang, Junguo Liu, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 4139–4165, https://doi.org/10.5194/nhess-22-4139-2022,https://doi.org/10.5194/nhess-22-4139-2022, 2022
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17 Oct 2022
Real-time urban rainstorm and waterlogging disaster detection by Weibo users
Haoran Zhu, Priscilla Obeng Oforiwaa, and Guofeng Su
Nat. Hazards Earth Syst. Sci., 22, 3349–3359, https://doi.org/10.5194/nhess-22-3349-2022,https://doi.org/10.5194/nhess-22-3349-2022, 2022
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12 Oct 2022
Dynamic risk assessment of compound hazards based on VFS–IEM–IDM: a case study of typhoon–rainstorm hazards in Shenzhen, China
Wenwu Gong, Jie Jiang, and Lili Yang
Nat. Hazards Earth Syst. Sci., 22, 3271–3283, https://doi.org/10.5194/nhess-22-3271-2022,https://doi.org/10.5194/nhess-22-3271-2022, 2022
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15 Sep 2022
Brief communication: Impact forecasting could substantially improve the emergency management of deadly floods: case study July 2021 floods in Germany
Heiko Apel, Sergiy Vorogushyn, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 22, 3005–3014, https://doi.org/10.5194/nhess-22-3005-2022,https://doi.org/10.5194/nhess-22-3005-2022, 2022
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18 Jul 2022
Compound flood impact of water level and rainfall during tropical cyclone periods in a coastal city: the case of Shanghai
Hanqing Xu, Zhan Tian, Laixiang Sun, Qinghua Ye, Elisa Ragno, Jeremy Bricker, Ganquan Mao, Jinkai Tan, Jun Wang, Qian Ke, Shuai Wang, and Ralf Toumi
Nat. Hazards Earth Syst. Sci., 22, 2347–2358, https://doi.org/10.5194/nhess-22-2347-2022,https://doi.org/10.5194/nhess-22-2347-2022, 2022
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11 Jul 2022
Geographic information system models with fuzzy logic for susceptibility maps of debris flow using multiple types of parameters: a case study in Pinggu District of Beijing, China
Yiwei Zhang, Jianping Chen, Qing Wang, Chun Tan, Yongchao Li, Xiaohui Sun, and Yang Li
Nat. Hazards Earth Syst. Sci., 22, 2239–2255, https://doi.org/10.5194/nhess-22-2239-2022,https://doi.org/10.5194/nhess-22-2239-2022, 2022
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10 May 2022
Warming of 0.5 °C may cause double the economic loss and increase the population affected by floods in China
Lulu Liu, Jiangbo Gao, and Shaohong Wu
Nat. Hazards Earth Syst. Sci., 22, 1577–1590, https://doi.org/10.5194/nhess-22-1577-2022,https://doi.org/10.5194/nhess-22-1577-2022, 2022
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26 Apr 2022
Machine-learning blends of geomorphic descriptors: value and limitations for flood hazard assessment across large floodplains
Andrea Magnini, Michele Lombardi, Simone Persiano, Antonio Tirri, Francesco Lo Conti, and Attilio Castellarin
Nat. Hazards Earth Syst. Sci., 22, 1469–1486, https://doi.org/10.5194/nhess-22-1469-2022,https://doi.org/10.5194/nhess-22-1469-2022, 2022
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01 Mar 2022
Assessing tropical cyclone compound flood risk using hydrodynamic modelling: a case study in Haikou City, China
Qing Liu, Hanqing Xu, and Jun Wang
Nat. Hazards Earth Syst. Sci., 22, 665–675, https://doi.org/10.5194/nhess-22-665-2022,https://doi.org/10.5194/nhess-22-665-2022, 2022
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10 Feb 2022
Temporal changes in rainfall intensity–duration thresholds for post-wildfire flash floods in southern California
Tao Liu, Luke A. McGuire, Nina Oakley, and Forest Cannon
Nat. Hazards Earth Syst. Sci., 22, 361–376, https://doi.org/10.5194/nhess-22-361-2022,https://doi.org/10.5194/nhess-22-361-2022, 2022
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22 Nov 2021
Modeling of a compound flood induced by the levee breach at Qianbujing Creek, Shanghai, during Typhoon Fitow
Yuhan Yang, Jie Yin, Weiguo Zhang, Yan Zhang, Yi Lu, Yufan Liu, Aoyue Xiao, Yunxiao Wang, and Wenming Song
Nat. Hazards Earth Syst. Sci., 21, 3563–3572, https://doi.org/10.5194/nhess-21-3563-2021,https://doi.org/10.5194/nhess-21-3563-2021, 2021
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19 Oct 2021
Assessment of direct economic losses of flood disasters based on spatial valuation of land use and quantification of vulnerabilities: a case study on the 2014 flood in Lishui city of China
Haixia Zhang, Weihua Fang, Hua Zhang, and Lu Yu
Nat. Hazards Earth Syst. Sci., 21, 3161–3174, https://doi.org/10.5194/nhess-21-3161-2021,https://doi.org/10.5194/nhess-21-3161-2021, 2021
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